Latency Optimization for Blockchain-Empowered Federated Learning in
Multi-Server Edge Computing

Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing

18 March 2022

Seyyedali Hosseinalipour

Christopher G. Brinton

Papers citing "Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing"

6 / 6 papers shown

Title
Federated Learning for Cyber Physical Systems: A Comprehensive Survey Minh K. Quan P. Pathirana M. Wijayasundara S. Setunge Dinh C. Nguyen Christopher G. Brinton David J. Love H. Vincent Poor AI4CE 51 0 0 08 May 2025
A Blockchain-empowered Multi-Aggregator Federated Learning Architecture in Edge Computing with Deep Reinforcement Learning Optimization Xiao Li Wei Wu 20 0 0 14 Oct 2023
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges Enrique Tomás Martínez Beltrán Mario Quiles Pérez Pedro Miguel Sánchez Sánchez Sergio López Bernal Gérome Bovet M. Pérez Gregorio Martínez Pérez Alberto Huertas Celdrán FedML 18 221 0 15 Nov 2022
Trustworthy Federated Learning via Blockchain Zhanpeng Yang Yuanming Shi Yong Zhou Zixin Wang Kai Yang 32 68 0 13 Aug 2022
BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine Learning A. Mondal Harpreet Virk Debayan Gupta 32 15 0 06 Feb 2022
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,685 0 14 Apr 2018